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Record W7037128527

Day in the Life: Secure interludes with joint book reading

2009· article· en· W7037128527 on OpenAlexaboutno aff

Bibliographic record

VenueFlorence Research (University of Florence) · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicChild Development and Digital Technology
Canadian institutionsnot available
Fundersnot available
KeywordsThrivingReading (process)Everyday lifeJoint (building)Affect (linguistics)Focus (optics)Tracking (education)Element (criminal law)
DOInot available

Abstract

fetched live from OpenAlex

A Day in the Life is an interdisciplinary study of thriving 2-year-old girls and their families in diverse communities around the globe. We understand development to be active participation in cultural systems of practice, and examine children's interactions with their caregivers, other companions, and the environment. We focus upon children engaged in their everyday activities, attending to the patternings of local interactions that constitute cultural activity, as well as inter-articulations between the values and understandings shaped and reshaped in the day with those formed in dialogue among research participants. A crucial element of the project is the full participation by local investigators. Our core methodology films a day in the life of each child, tracking the child through her landscape. We have observed nurturant interactions in all settings where we collected our data: Thailand, Canada, Italy, the United Kingdom (UK), Peru, the United States (USA), and Turkey. Likewise, we have separately examined the various joint book-reading experiences of the children in those settings. In this article, we observe the bidirectional place of affect in joint book-reading episodes of children with different adult partners, and inspect the potential for such emergent literate activities to contribute to strong affective relationships between the children and family members. (Contains 1 table.)

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.428
Threshold uncertainty score0.530

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.063
GPT teacher head0.313
Teacher spread0.250 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2009
Admission routes1
Has abstractyes

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